Image segmentation is known as one of the most critical task in image processing and
pattern recognition in contemporary time, for this purpose Multi Level Thresholding based …

This paper presents a multilevel image thresholding approach which relies on Tsallis
entropy using Fuzzy partition with a novel threshold selection technique. In order to compute …

Multilevel image thresholding is an important operation in many analyses which is used in
many applications. Selecting correct thresholds is a critical issue. In this paper, Bacterial …

In this paper, optimal thresholds for multi-level thresholding in an image are obtained by
maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as …

Abstract Background/Objectives: In this paper, Firefly Algorithm (FA) based multilevel
thresholding is proposed to segment the gray scale image by maximizing the entropy value …

Multilevel thresholding is a method that is widely used in image segmentation. The
thresholding problem is treated as an optimization problem with an objective function. In this …

Image segmentation is an important problem for image processing. The image processing
applications are generally affectedfromthe segmentation success. There is noany image …

This paper proposes a multilevel thresholding technique for image segmentation, using an
image enhancing technique and an improvised algorithm called Half-life Constant Particle …

Multilevel thresholding amounts to segmenting a gray-level image into several distinct
regions. This paper presents a 2D histogram based multilevel thresholding approach to …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …